GPU-accelerated aerodynamic shape optimisation framework for large turbine blades

Tom R O Wainwright, Daniel J Poole, Christian B Allen

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
139 Downloads (Pure)

Abstract

This paper presents a high-fidelity aerodynamic optimisation framework designed to decrease the cost of optimisation of large wind turbine blades. The framework is presented in the context of the IEA 15MW reference turbine, but is applicable to all large turbine geometries. Optimisation is performed using a surrogate model, built through latin hypercube sampling of the design space, with a GPU accelerated CFD code. Aerofoil parameterisation is handled through the use of singular value decomposition of the aerofoil nodes, built on a database of 1300 aerofoils. A preliminary optimisation study is performed on the surrogate model to demonstrate the capability and functionality of such a system.
Original languageEnglish
Title of host publicationAIAA SciTech Forum and Exposition 2022
Subtitle of host publicationAIAA 2022-1292 Session: Optimization of Blades and Rotors
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
ISBN (Electronic)9781624106316
DOIs
Publication statusPublished - 29 Dec 2021

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